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Publication search results
found 9 matches
- 2024
- Chenning Li, Arash Nasr-Esfahany, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
m3: Accurate Flow-Level Performance Estimation using Machine Learning. SIGCOMM 2024: 813-827 - 2023
- Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah:
Counterfactual Identifiability of Bijective Causal Models. ICML 2023: 25733-25754 - Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. NSDI 2023: 1115-1147 - Arash Nasr-Esfahany, Emre Kiciman:
Counterfactual (Non-)identifiability of Learned Structural Causal Models. CoRR abs/2301.09031 (2023) - Pouya Hamadanian, Arash Nasr-Esfahany, Siddartha Sen, Malte Schwarzkopf, Mohammad Alizadeh:
Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments. CoRR abs/2302.02182 (2023) - Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah:
Counterfactual Identifiability of Bijective Causal Models. CoRR abs/2302.02228 (2023) - 2022
- Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. CoRR abs/2201.01811 (2022) - 2021
- Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh:
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. ICCV 2021: 4552-4562 - 2020
- Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh:
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. CoRR abs/2006.06628 (2020)
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